This is the official release of LEVIR-Ship, which is a dataset for tiny ship detection under medium-resolution remote sensing images

YOLOv5-ODConvNeXt is an improved version of YOLOv5 for ship detection on drone-captured images.

The official implementation of DRENet (Degraded Reconstruction Enhancement Network) for tiny ship detection in remote sensing Images

[TGRS 2023] An official implementation of Multitype Feature Perception and Refined Network for Spaceborne Infrared Ship Detection

Project on the implementation of deep-learning models for ship detection on SAR images.

YOLOv8 SAR Ship Detection leverages the YOLOv8 model to detect ships in SAR images and videos. It provides a Streamlit app for real-time detection, displaying bounding boxes around ships with or without confidence scores.

Taiwan SAR Ship and Weather Dataset

TRACK MY VOYAGE is a smart maritime surveillance system that uses deep learning and computer vision to detect, classify, and monitor ships in real-time from satellite and aerial imagery. Built with YOLOv8 and OpenCV, it automates ship detection, supports vessel classification, and triggers geofencing alerts to enhance maritime border security.

Ship detection project developped for Computer Vision exam at UNIVPM

TIPE MPSI/MP* 2018-2020